diff_of_means ratio_of_sd amplitude_ratio_of_means maximum_error sign_error qqplot_mae acf_mae extremogram_mae
lstm.cesm2.ssp370 0.12% 0.781 0.924 0.264 0.132 1.264 0.186 0.072
lstm.mri_esm2_0.ssp434 0.12% 0.795 0.950 0.265 0.128 1.178 0.154 0.069
nv.mri_esm2_0.ssp370 -0.13% 1.109 0.961 0.114 0.048 0.631 0.068 0.034
lstm.cesm2.ssp585 0.14% 0.779 0.933 0.283 0.132 1.301 0.203 0.078
lstm.cesm2.ssp245 0.14% 0.784 0.927 0.264 0.133 1.286 0.181 0.081
lstm.mri_esm2_0.ssp370 0.15% 0.792 0.957 0.285 0.128 1.225 0.176 0.065
lstm.mri_esm2_0.ssp245 0.15% 0.797 0.952 0.284 0.128 1.220 0.163 0.072
xgboost.mri_esm2_0.ssp370 -0.16% 1.050 0.842 0.380 0.069 0.519 0.106 0.028
nv.mri_esm2_0.ssp434 -0.17% 1.155 0.963 0.108 0.047 0.878 0.085 0.053
lstm.ec_earth3.ssp434 0.18% 0.778 0.932 0.284 0.133 1.417 0.192 0.092
cnn.mri_esm2_0.ssp434 0.18% 1.056 1.132 0.451 0.222 1.181 0.273 0.101
cnn.cesm2.ssp370 0.18% 1.047 1.109 0.434 0.215 1.012 0.274 0.122
xgboost.mri_esm2_0.ssp434 -0.19% 1.088 0.855 0.381 0.069 0.689 0.115 0.025
cnn.mri_esm2_0.ssp245 0.20% 1.075 1.139 0.459 0.222 1.278 0.270 0.120
cnn.mri_esm2_0.ssp370 0.20% 1.064 1.142 0.464 0.222 1.210 0.279 0.116
cnn.ec_earth3.ssp434 0.20% 1.072 1.126 0.458 0.217 1.415 0.260 0.145
cnn.cesm2.ssp245 0.21% 1.042 1.105 0.430 0.216 1.095 0.268 0.108
cnn.cesm2.ssp585 0.22% 1.042 1.124 0.436 0.214 1.077 0.289 0.125
nv.ec_earth3.ssp434 -0.27% 1.019 0.946 0.163 0.048 0.775 0.065 0.021
xgboost.ec_earth3.ssp434 -0.28% 0.960 0.726 0.342 0.072 0.842 0.136 0.031
nv.mri_esm2_0.ssp245 -0.32% 1.153 0.962 0.112 0.048 1.031 0.086 0.100
xgboost.mri_esm2_0.ssp245 -0.33% 1.081 0.873 0.381 0.068 0.962 0.108 0.025
nv.cesm2.ssp585 -0.44% 0.995 0.958 0.111 0.048 1.294 0.031 0.016
xgboost.cesm2.ssp585 -0.47% 0.940 0.808 0.365 0.068 1.381 0.082 0.018
nv.cesm2.ssp245 -0.51% 0.997 0.956 0.126 0.048 1.482 0.034 0.041
xgboost.cesm2.ssp245 -0.52% 0.939 0.813 0.375 0.070 1.534 0.081 0.025
nv.cesm2.ssp370 -0.57% 0.967 0.959 0.127 0.047 1.651 0.019 0.017
xgboost.cesm2.ssp370 -0.59% 0.911 0.805 0.363 0.068 1.734 0.072 0.024

Time series of the first days

How Often Peaks Hit Hourly

QQ Plot

Distribution of the undownscaled value on days with estimated extremes values.

On the x-axis we have the daily mean (standardized). It says Undownscaled value, but is the daily mean after the downscaling. A good idea is to plot the original undownscaled value.

The purpose of this plot is to illustrate the distribution of P(undownscaled value | we predicted an extreme). This is useful because it reveals how much information we can recover concerning extreme events. If the distribution is skewed to the right, it suggests that we’re predicting extreme values only when extreme values have already occurred. Conversely, if the lower tail of the distribution resembles the reanalysis data, it indicates that we can capture short-duration extremes (e.g., brief periods of heavy rainfall, such as an intense downpour lasting an hour before stopping).

Autocorrelogram

Extremogram